Yozen Liu

According to our database, Yozen Liu authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data.

Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos

Comput. Hum. Behav., January, 2024

Improving Out-of-Vocabulary Handling in Recommendation Systems.

William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu

CoRR, 2024

USE: Dynamic User Modeling with Stateful Sequence Models.

Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch

CoRR, 2024

Node Duplication Improves Cold-start Link Prediction.

Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla

CoRR, 2024

2023

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat.

Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch

CoRR, 2023

Graph Transformers for Large Graphs.

Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao

CoRR, 2023

Context-Aware Prediction of User Engagement on Online Social Platforms.

Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos

CoRR, 2023

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference.

Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Embedding Based Retrieval in Friend Recommendation.

Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis.

Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

CARL-G: Clustering-Accelerated Representation Learning on Graphs.

William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Predicting Future Location Categories of Users in a Large Social Platform.

Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Linkless Link Prediction via Relational Distillation.

Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao

Proceedings of the International Conference on Machine Learning, 2023

Link Prediction with Non-Contrastive Learning.

William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.

Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Empowering Graph Representation Learning with Test-Time Graph Transformation.

Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study.

Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers.

Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games.

Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun

CoRR, 2022

Friend Story Ranking with Edge-Contextual Local Graph Convolutions.

Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games.

Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.

Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

Proceedings of the Learning on Graphs Conference, 2022

Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media?

Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation.

Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Condensation for Graph Neural Networks.

Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Graph Neural Networks for Friend Ranking in Large-scale Social Platforms.

Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah

Proceedings of the WWW '21: The Web Conference 2021, 2021

CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms.

Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

A Unified View on Graph Neural Networks as Graph Signal Denoising.

Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media.

Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Data Augmentation for Graph Neural Networks.

Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.

Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat.

Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren

CoRR, 2019

Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat.

Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019